Files
gitmost/apps/server/test/integration/ai-chat-attach.int-spec.ts
T
agent_coder daeeb1f3f2 refactor(ai-chat): registry — step-aligned retention + tail-only attach (#491)
Реестр ран-стримов больше не буферизует до 32МБ сырых SSE-кадров на активный
ран и не выливает весь буфер в сокет синхронно при attach — это давало OOM на
1ГБ-контейнере при нескольких марафонских ранах. Теперь кольцо ограничено
(env-настраиваемо, по умолчанию 4МБ) и держится в границах за счёт ротации по
шагам.

Серверная часть (суть коммита):

- Штамповка кадров по шагам в ingestFrame. Штамп кадра = число `finish-step`
  кадров ДО него (с 0); сам finish-step несёт текущее значение, затем счётчик
  инкрементится. Так штамп совпадает с `metadata.stepsPersisted`: клиент с N
  персистнутыми шагами имеет 0..N-1 в сиде и просит хвост `stamp >= N`. Границу
  ловим дешёвым startsWith по `data: {"type":"finish-step"` — форма кадра
  проверена эмпирически против ai@6.0.207 (одна часть на кадр, type всегда
  первый ключ; кавычки в text-delta экранированы, ложных срабатываний нет).

- Кольцо ротируется ТОЛЬКО на подтверждённом персисте шага N
  (`confirmPersistedStep`), сбрасывая кадры `stamp < N` (эти шаги уже на диске и
  придут в свежем сиде). `updateStreaming` теперь СИГНАЛИЗИРУЕТ исход (число
  персистнутых шагов или null), и ротация вызывается лишь при не-null возврате —
  провал персиста ничего не ротирует, кольцо покрывает БОЛЬШЕ (анти-инверсия:
  наивная ротация в .then() после НЕзаписанного шага дырявила бы гарантию).

- Переполнение кольца сверх байтового капа вытесняет старейшие кадры; вытеснение
  ещё-не-персистнутого кадра открывает GAP. Гэп НЕ липкий: floor покрытия
  считается из кольца, поздний персист, проротировав дырявые шаги, его чистит.

- attach(chatId, anchor, n): маркер шага N приходит ТОЛЬКО от клиента (сервер не
  читает строку — N из устаревшего сида дал бы тихую дыру в один шаг). Покрытие
  ОК ⟺ coverageFloor <= n; иначе 204 → клиент рефетчит (больший N) и
  переподключается. Хвост = синтетический `start`-кадр (ран-факт runId/chatId) +
  кадры `stamp >= n`. Инвариант 6 (нет кросс-ран реплея) сохранён через anchor;
  инвариант 4 (снапшот+регистрация в один синхронный тик) сохранён. N-срез
  применяется во ВСЕХ ветках, включая finished-retained: finished + N=N_final →
  пустой хвост + finish-кадр, клиент закрывает стрим.

- Контроллер пишет хвост чанками с учётом drain (writeTailRespectingDrain), а не
  синхронным залпом (вторая половина OOM). Кап подписчика — производное 2× кап
  кольца, обе величины env-резолвятся на инстансе.

Клиент: в тип строки добавлен `metadata.stepsPersisted` (источник N). PIN-SPEC
трип-вайр на ai@6.0.207: `readUIMessageStream({ message })` продолжает последнее
сообщение, `start`-кадр не сбрасывает parts, текст не пересекает finish-step —
на этом держится продолжение при attach; апгрейд ai теперь падает громко.

Тесты (observable-property против РЕАЛЬНОГО реестра/БД): детектор границы на
реальной форме кадра, N-срез (в т.ч. посреди шага), ротация только на
подтверждённом персисте, «персист провалился но кольцо влезло → attach успешен /
провал + переполнение → 204», «устаревший N → 204 → после рефетча успех», очистка
гэпа поздним персистом, finished-retained + N_final, memory-bound (5 параллельных
марафонов сверх 32МБ, каждое кольцо ≤ кап). Обновлены registry/controller specs и
DB-backed интеграционный attach-spec под новую сигнатуру/семантику.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-12 04:09:00 +03:00

586 lines
20 KiB
TypeScript

import * as http from 'node:http';
import { Kysely } from 'kysely';
import {
MockLanguageModelV3,
convertArrayToReadableStream,
} from 'ai/test';
import { AiChatRepo } from '@docmost/db/repos/ai-chat/ai-chat.repo';
import { AiChatMessageRepo } from '@docmost/db/repos/ai-chat/ai-chat-message.repo';
import { AiChatRunRepo } from '@docmost/db/repos/ai-chat/ai-chat-run.repo';
import { AiChatService } from 'src/core/ai-chat/ai-chat.service';
import { AiChatRunService } from 'src/core/ai-chat/ai-chat-run.service';
import {
AiChatStreamRegistryService,
RunStreamCallbacks,
} from 'src/core/ai-chat/ai-chat-stream-registry.service';
import {
getTestDb,
destroyTestDb,
createWorkspace,
createUser,
createChat,
} from './db';
/**
* #184 phase 1.5 — the resumable transport end to end against REAL Postgres,
* the REAL `streamText` (seeded via MockLanguageModelV3) and a REAL Node
* ServerResponse, driving the REAL `AiChatService.stream` run-wrapped path with a
* REAL `AiChatStreamRegistryService`. The run-hooks mirror the controller: they
* begin a durable run and `open()` the registry entry at begin, and the service
* tees the SSE frames into it via `consumeSseStream` while stamping the DB row id
* via `generateMessageId` (both gated on runId + the resumable flag).
*
* Proven here (tail-only #491): a finished run attached at its persisted frontier
* N_final delivers only the TAIL past N (a synthetic `start` carrying the run-fact
* + the terminal `finish`/`[DONE]`) — the step content below N lives in the seeded
* DB row, NOT the ring; the anchor check (invariant 6); an attach opened BEFORE the
* first frame follows the live stream from frame 0; an explicit stop surfaces
* `{"type":"abort"}` + `[DONE]` + end to the subscriber; and the legacy (non-run)
* path tees nothing.
*/
const sleep = (ms: number) => new Promise((r) => setTimeout(r, ms));
async function waitFor(
cond: () => Promise<boolean> | boolean,
{ timeoutMs = 15_000, stepMs = 25 } = {},
): Promise<void> {
const start = Date.now();
while (Date.now() - start < timeoutMs) {
if (await cond()) return;
await sleep(stepMs);
}
throw new Error('waitFor: condition not met within timeout');
}
// A real Node ServerResponse wired to a live socket (as in the stream int-spec).
function makeRealResponse(): Promise<{
res: http.ServerResponse;
cleanup: () => Promise<void>;
}> {
return new Promise((resolve) => {
const server = http.createServer((_req, res) => {
resolve({
res,
cleanup: () =>
new Promise<void>((done) => {
try {
if (!res.writableEnded) res.end();
} catch {
/* socket already gone */
}
server.close(() => done());
}),
});
});
server.listen(0, () => {
const port = (server.address() as any).port;
const creq = http.request({ port, method: 'GET' }, (cres) => {
cres.resume();
});
creq.on('error', () => undefined);
creq.end();
});
});
}
// A full, successful single-step turn.
function successStream() {
return convertArrayToReadableStream([
{ type: 'stream-start', warnings: [] },
{ type: 'text-start', id: 't1' },
{ type: 'text-delta', id: 't1', delta: 'Hello' },
{ type: 'text-delta', id: 't1', delta: ' there' },
{ type: 'text-end', id: 't1' },
{
type: 'finish',
finishReason: 'stop',
usage: { inputTokens: 10, outputTokens: 5, totalTokens: 15 },
},
] as any);
}
// A stream the test feeds chunk by chunk (to attach mid-flight / drive a stop).
function makeControlledStream() {
let controller!: ReadableStreamDefaultController<any>;
const stream = new ReadableStream<any>({
start(c) {
controller = c;
},
});
return {
stream,
emit: (chunk: any) => controller.enqueue(chunk),
close: () => controller.close(),
};
}
// Collect replay + live frames from an attachment.
function liveSink(): {
cb: RunStreamCallbacks;
frames: string[];
ended: () => boolean;
} {
const frames: string[] = [];
let ended = false;
return {
frames,
ended: () => ended,
cb: {
onFrame: (f) => frames.push(f),
onEnd: () => {
ended = true;
},
},
};
}
// Parse the first `start` frame's JSON out of a `data: {...}` sequence.
function parseStartFrame(
frames: string[],
): { messageId?: string; messageMetadata?: any } | undefined {
for (const f of frames) {
const m = /^data: (\{.*\})\s*$/m.exec(f.trim());
if (!m) continue;
try {
const json = JSON.parse(m[1]);
if (json.type === 'start') return json;
} catch {
/* not this frame */
}
}
return undefined;
}
describe('AiChatService run-stream attach [integration]', () => {
let db: Kysely<any>;
let aiChatRepo: AiChatRepo;
let msgRepo: AiChatMessageRepo;
let runRepo: AiChatRunRepo;
let workspaceId: string;
let userId: string;
const mcpClients = {
toolsFor: async () => ({
tools: {},
clients: [],
outcomes: [],
instructions: [],
}),
};
// Build the service with the run-stream registry wired and the resumable flag
// ON (the property under test). Deferred tools OFF (irrelevant here).
function buildService(registry: AiChatStreamRegistryService): AiChatService {
return new AiChatService(
{ getChatModel: async () => null } as any,
aiChatRepo,
msgRepo,
{} as any,
{ resolve: async () => null } as any,
{ forUser: async () => ({}) } as any,
mcpClients as any,
{} as any,
{} as any,
{} as any,
{
isAiChatDeferredToolsEnabled: () => false,
isAiChatResumableStreamEnabled: () => true,
isAiChatFinalStepLockdownEnabled: () => false,
} as any,
registry,
);
}
// Run-hooks mirroring the controller: begin the durable run AND open() the
// registry entry at begin. Captures the runId so a test can stop it.
function makeRunHooks(
runService: AiChatRunService,
registry: AiChatStreamRegistryService,
box: { runId?: string },
) {
return {
begin: async (chatId: string) => {
const handle = await runService.beginRun({
chatId,
workspaceId,
userId,
trigger: 'user',
});
box.runId = handle.runId;
registry.open(chatId, handle.runId);
return handle;
},
onAssistantSeeded: (runId: string, messageId: string) =>
runService.linkAssistantMessage(runId, workspaceId, messageId),
onStep: (runId: string, n: number) =>
void runService.recordStep(runId, workspaceId, n),
onSettled: (runId: string, status: any, error?: string) =>
runService.finalizeRun(runId, workspaceId, status, error),
};
}
function userUiMessage(text: string) {
return {
id: `u-${Math.random()}`,
role: 'user',
parts: [{ type: 'text', text }],
};
}
async function startRun(opts: {
registry: AiChatStreamRegistryService;
runService?: AiChatRunService;
model: MockLanguageModelV3;
chatId: string;
body: any;
box?: { runId?: string };
}): Promise<{ res: http.ServerResponse; cleanup: () => Promise<void> }> {
const service = buildService(opts.registry);
const { res, cleanup } = await makeRealResponse();
const runHooks = opts.runService
? makeRunHooks(opts.runService, opts.registry, opts.box ?? {})
: undefined;
await service.stream({
user: { id: userId, workspaceId } as any,
workspace: { id: workspaceId, name: 'WS' } as any,
sessionId: 'sess-1',
body: opts.body,
res: { raw: res } as any,
signal: new AbortController().signal,
model: opts.model as any,
role: null,
runHooks,
} as any);
return { res, cleanup };
}
async function assistantRowId(chatId: string): Promise<string> {
const rows = await msgRepo.findAllByChat(chatId, workspaceId);
const row = rows.find((r: any) => r.role === 'assistant');
return row!.id as string;
}
beforeAll(async () => {
db = getTestDb();
aiChatRepo = new AiChatRepo(db as any);
msgRepo = new AiChatMessageRepo(db as any);
runRepo = new AiChatRunRepo(db as any);
workspaceId = (await createWorkspace(db)).id;
userId = (await createUser(db, workspaceId)).id;
});
afterAll(async () => {
await destroyTestDb();
});
it('run-wrapped, tail-only: a finished run at N_final delivers the run-fact start + finish/[DONE]; the step content lives in the seeded row', async () => {
const chatId = (await createChat(db, { workspaceId, creatorId: userId })).id;
const registry = new AiChatStreamRegistryService();
const runService = new AiChatRunService(runRepo, {
isCloud: () => false,
} as never);
const model = new MockLanguageModelV3({
doStream: async () => ({ stream: successStream() }),
} as any);
const box: { runId?: string } = {};
const { cleanup } = await startRun({
registry,
runService,
model,
chatId,
body: { chatId, messages: [userUiMessage('Hi')] },
box,
});
try {
// Wait for the assistant row to settle (terminal callbacks run async).
await waitFor(async () => {
const rows = await msgRepo.findAllByChat(chatId, workspaceId);
return rows.some(
(r: any) =>
r.role === 'assistant' &&
['completed', 'error', 'aborted'].includes(r.status),
);
});
const rowId = await assistantRowId(chatId);
// The client reads its persisted step frontier N from the seeded row.
const row: any = await msgRepo.findById(rowId, workspaceId);
const nFinal = row.metadata.stepsPersisted as number;
expect(nFinal).toBe(1); // a single finished step
// The step content is in the SEEDED row (parts/content), not the ring.
expect(JSON.stringify(row.metadata.parts)).toContain('Hello');
// Attach at N_final with the correct anchor: the tail past step 1 is just
// the terminal frames; step 0's 'Hello' is BELOW the frontier (seeded).
const sink = liveSink();
const att = await registry.attach(chatId, rowId, nFinal, sink.cb);
expect(att).not.toBeNull();
expect(att!.finished).toBe(true);
// The synthetic start frame carries the run-fact (runId/chatId), the source
// of the run-fact on re-attach.
const start = parseStartFrame(att!.replay);
expect(start?.messageMetadata).toMatchObject({
runId: box.runId,
chatId,
});
// The terminal marker is delivered so the client's SDK closes the stream.
expect(att!.replay.some((f) => f.includes('[DONE]'))).toBe(true);
// 'Hello' (step 0, below the frontier) is NOT re-streamed — it is seeded.
expect(att!.replay.some((f) => f.includes('Hello'))).toBe(false);
} finally {
registry.onModuleDestroy();
await cleanup();
}
});
it('anchor mismatch returns null (invariant 6)', async () => {
const chatId = (await createChat(db, { workspaceId, creatorId: userId })).id;
const registry = new AiChatStreamRegistryService();
const runService = new AiChatRunService(runRepo, {
isCloud: () => false,
} as never);
const model = new MockLanguageModelV3({
doStream: async () => ({ stream: successStream() }),
} as any);
const { cleanup } = await startRun({
registry,
runService,
model,
chatId,
body: { chatId, messages: [userUiMessage('Hi')] },
});
try {
await waitFor(async () => {
const rows = await msgRepo.findAllByChat(chatId, workspaceId);
return rows.some(
(r: any) => r.role === 'assistant' && r.status === 'completed',
);
});
const sink = liveSink();
// A foreign anchor must NOT replay this run's transcript.
expect(
await registry.attach(chatId, 'a-different-run-row', 1, sink.cb),
).toBeNull();
} finally {
registry.onModuleDestroy();
await cleanup();
}
});
it('an attach opened BEFORE the first frame follows the live stream from frame 0', async () => {
const chatId = (await createChat(db, { workspaceId, creatorId: userId })).id;
const registry = new AiChatStreamRegistryService();
const runService = new AiChatRunService(runRepo, {
isCloud: () => false,
} as never);
const controlled = makeControlledStream();
const model = new MockLanguageModelV3({
doStream: async () => ({ stream: controlled.stream }),
} as any);
const { cleanup } = await startRun({
registry,
runService,
model,
chatId,
body: { chatId, messages: [userUiMessage('Slow please')] },
});
try {
// Attach while the entry exists (opened at begin) but before any frame.
const sink = liveSink();
const att = (await registry.attach(chatId, undefined, 0, sink.cb))!;
// Nothing streamed yet -> the tail is just the synthetic start frame; the
// whole live stream (start..DONE) follows via onFrame after start().
expect(att.replay).toHaveLength(1);
expect(att.replay[0]).toContain('"type":"start"');
att.start(); // go live (drains nothing, then follows)
// Now emit the whole turn.
controlled.emit({ type: 'stream-start', warnings: [] });
controlled.emit({ type: 'text-start', id: 't1' });
controlled.emit({ type: 'text-delta', id: 't1', delta: 'Zero' });
controlled.emit({ type: 'text-end', id: 't1' });
controlled.emit({
type: 'finish',
finishReason: 'stop',
usage: { inputTokens: 1, outputTokens: 1, totalTokens: 2 },
});
controlled.close();
await waitFor(() => sink.frames.some((f) => f.includes('[DONE]')));
// The subscriber saw the stream from the very first frame (`start`) through
// the terminal marker, with the streamed text present.
expect(sink.frames.some((f) => f.includes('"type":"start"'))).toBe(true);
expect(sink.frames.join('')).toContain('Zero');
expect(sink.frames[sink.frames.length - 1]).toContain('[DONE]');
expect(sink.ended()).toBe(true);
} finally {
registry.onModuleDestroy();
await cleanup();
}
});
it('requestStop surfaces {"type":"abort"} + [DONE] + end to the attached subscriber', async () => {
const chatId = (await createChat(db, { workspaceId, creatorId: userId })).id;
const registry = new AiChatStreamRegistryService();
const runService = new AiChatRunService(runRepo, {
isCloud: () => false,
} as never);
// An abort-AWARE model: it streams some partial output, then errors the model
// stream with an AbortError when the run signal aborts — exactly as a real
// provider network stream is torn down on abort (a plain in-memory stream
// would just stall, so streamText would never observe the stop).
const model = new MockLanguageModelV3({
doStream: async ({ abortSignal }: any) => {
const stream = new ReadableStream<any>({
start(controller) {
controller.enqueue({ type: 'stream-start', warnings: [] });
controller.enqueue({ type: 'text-start', id: 't1' });
controller.enqueue({ type: 'text-delta', id: 't1', delta: 'partial' });
abortSignal?.addEventListener('abort', () => {
try {
controller.error(
new DOMException('Aborted', 'AbortError'),
);
} catch {
/* already errored/closed */
}
});
},
});
return { stream };
},
} as any);
const box: { runId?: string } = {};
const { cleanup } = await startRun({
registry,
runService,
model,
chatId,
body: { chatId, messages: [userUiMessage('Start then stop')] },
box,
});
try {
const sink = liveSink();
const att = (await registry.attach(chatId, undefined, 0, sink.cb))!;
att.start();
// Give streamText a beat to begin consuming the partial output.
await sleep(250);
// User presses Stop -> the run signal aborts -> the SDK emits an abort chunk.
await runService.requestStop(box.runId!, workspaceId);
await waitFor(() => sink.ended());
expect(sink.frames.some((f) => f.includes('"type":"abort"'))).toBe(true);
expect(sink.frames.some((f) => f.includes('[DONE]'))).toBe(true);
expect(sink.ended()).toBe(true);
} finally {
registry.onModuleDestroy();
await cleanup();
}
});
it('the outer catch calls abortEntry so an open entry is released (finished)', async () => {
const chatId = (await createChat(db, { workspaceId, creatorId: userId })).id;
const registry = new AiChatStreamRegistryService();
const runService = new AiChatRunService(runRepo, {
isCloud: () => false,
} as never);
const model = new MockLanguageModelV3({
doStream: async () => ({ stream: successStream() }),
} as any);
// A msgRepo whose user-row insert throws: the turn fails AFTER begin (the
// entry is already open) but BEFORE the pipe, exercising the outer catch.
const throwingMsgRepo = {
insert: async () => {
throw new Error('db boom');
},
findAllByChat: (...a: any[]) => (msgRepo as any).findAllByChat(...a),
update: (...a: any[]) => (msgRepo as any).update(...a),
findById: (...a: any[]) => (msgRepo as any).findById(...a),
};
const service = new AiChatService(
{ getChatModel: async () => null } as any,
aiChatRepo,
throwingMsgRepo as any,
{} as any,
{ resolve: async () => null } as any,
{ forUser: async () => ({}) } as any,
mcpClients as any,
{} as any,
{} as any,
{} as any,
{
isAiChatDeferredToolsEnabled: () => false,
isAiChatResumableStreamEnabled: () => true,
isAiChatFinalStepLockdownEnabled: () => false,
} as any,
registry,
);
const { res, cleanup } = await makeRealResponse();
const box: { runId?: string } = {};
try {
await expect(
service.stream({
user: { id: userId, workspaceId } as any,
workspace: { id: workspaceId, name: 'WS' } as any,
sessionId: 'sess-1',
body: { chatId, messages: [userUiMessage('will throw')] },
res: { raw: res } as any,
signal: new AbortController().signal,
model: model as any,
role: null,
runHooks: makeRunHooks(runService, registry, box),
} as any),
).rejects.toThrow();
// The entry opened at begin was terminated by abortEntry (from the catch),
// so it is finished and a plain attach returns null instead of hanging.
const entry = (registry as any).entries.get(chatId);
expect(entry).toBeDefined();
expect(entry.finished).toBe(true);
const sink = liveSink();
// Finished with an EMPTY ring (aborted before any frame) -> null -> the
// client degrades to poll instead of hanging on an empty stream.
expect(await registry.attach(chatId, undefined, 0, sink.cb)).toBeNull();
} finally {
registry.onModuleDestroy();
await cleanup();
}
});
it('legacy (no run-hooks): the registry is never populated', async () => {
const chatId = (await createChat(db, { workspaceId, creatorId: userId })).id;
const registry = new AiChatStreamRegistryService();
const model = new MockLanguageModelV3({
doStream: async () => ({ stream: successStream() }),
} as any);
// No runHooks -> runId undefined -> the run-wrapped tee is never wired.
const { cleanup } = await startRun({
registry,
model,
chatId,
body: { chatId, messages: [userUiMessage('Legacy hi')] },
});
try {
await waitFor(async () => {
const rows = await msgRepo.findAllByChat(chatId, workspaceId);
return rows.some(
(r: any) => r.role === 'assistant' && r.status === 'completed',
);
});
const sink = liveSink();
// No entry was ever opened; attach always yields null.
expect(await registry.attach(chatId, undefined, 0, sink.cb)).toBeNull();
expect(await registry.attach(chatId, 'anything', 1, sink.cb)).toBeNull();
} finally {
registry.onModuleDestroy();
await cleanup();
}
});
});